References to FDA products and product characteristics in patent content have been semantically annotated (references from the content pointing to entities in the knowledge base);

Other classes named entities are also extracted from the patents. ExoPatent recognizes
a wide range diseases and other medical terms, defined
in the industry-standard Unified Medical Language System (UMLS).
UMLS features rich semantic information that expresses the links
between the medical concepts. Those links allow for complex structured queries for entities or patents;

Finally, ExoPatent recognizes different types of measurements in the patent text.

Retrieval:

Structure: provides a simplified way for creating queries, enabling the user to link patents with structured information.

Predefined patterns of semantic searches: useful for frequent queries with different restrictions.

Facets - faceted search paradigm based on co-occurrence of entities and terms in the same context.

Hybrid - a cross between full-text and entity search, allows you to put both entities and keywords in a simple search box; auto-suggest entity names; show facets.

Results could be entities or documents.

Analysis:

Timelines and Trend Analysis: how popularity of entities changes through time; what trends emerge;